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JAVA - Extraction of data from LinkedIn API - repost 2

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Project Description

JAVA - Extraction of data from LinkedIn API - Company & People Search

Company Search API:
Need to extract data of companies with keywords related to "Big Data" (see below for related keywords), into an xml file from linkedin API.
Need up to 10,000 companies, No less than 5,000 companies
The data needed is the following:
name,
website-url,
specialties,
employee-count-range,
founded-year,
end-year,
status,
locations:(address:(city,postal-code),is_active),
num-followers

Filters for data:
employee-count-range = B,C,D
industries: 129, 118,5,4,3,43,84,96,6,141,97,135,113,8,119
hq-only=0
locations in the following countries: USA, U.K, Israel, India, Germany, Brazil, Australia
(if there aren't enough companies from these countries, you can add more countries such as Canada, Japan, France etc.)


Company Products API:
1. Return a list of products and services supported by the companies found above
2. Return recommendations for each product found (if exist)

Company Updates API:
Retrieve the following update types of each company find:
job-posting,new-hire, position-change, profile-change, new-product, status-update

Job Lookup API:
Find the jobs offered by each company found (retrieve all fields)

Company Statistics API:
Retrieve status-update-statistics,follow-statistics of each company (If possible)

People Search API:
In order to find the exact number of employees of each company (not employee_count_range), I believe it is needed to use the people search API.
(maybe by finding all employees with the company nane on their profile. not sure)


* Eventually need to be able to see this data organized in an Excel file (example of appearance in files added)
*Java code needed (an example code for turning into xml is added. was sent to me. not sure if useful or not)


* Optional Big Data Keywords: Big Data,
Unstructured Data,
unstructured information,
MapReduce,
Column-oriented databases,
Distributed databases,
Datafication,
Columnar databases,
NOSQL,
Quantitative Data Analysis,
data visualization

(if more are needed to reach more companies, please inform)

Thanks:)

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